Data Engineer (Only W2)

Role Summary We are looking for a skilled Data Engineer to support data pipeline development, database management, and cloud-based data solutions. The ideal candidate will have strong experience with relational databases, ETL processes, and AWS services, along with the ability to work in a fast-paced Agile environment. Key Responsibilities Design, develop, and maintain scalable data pipelines (ETL/ELT) Work with relational databases (Oracle, PostgreSQL) and NoSQL systems Develop and debug SQL and PL/SQL code Build and optimize data models and database structures Work with AWS services like S3, EC2, Lambda, SNS, and SQS Collaborate with cross-functional teams in an Agile environment Support CI/CD pipelines using tools like Jenkins and Maven Monitor, troubleshoot, and resolve data-related issues across environments Ensure data quality, consistency, and performance Required Skills Strong experience with Oracle (RDBMS) and PL/SQL Hands-on experience with ETL tools (AWS Glue, Python-based pipelines) Strong programming skills in Python (preferred), Java, or Unix scripting Experience with AWS services (S3, EC2, Lambda, etc.) Experience with CI/CD tools (Jenkins, Maven, Docker) Solid understanding of data modeling concepts Strong debugging and problem-solving skills Preferred Skills Experience with Kafka / streaming technologies (Kinesis, SNS, SQS) API integration experience (Java-based APIs preferred) AWS Certifications (Associate / Professional) Experience with NoSQL databases (DynamoDB, Elasticsearch)